Triple
T7610362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia wine industry |
E172218
|
entity |
| Predicate | growthTrend |
P26502
|
FINISHED |
| Object | rapidly expanding number of wineries |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: rapidly expanding number of wineries | Statement: [Virginia wine industry, growthTrend, rapidly expanding number of wineries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: growthTrend Context triple: [Virginia wine industry, growthTrend, rapidly expanding number of wineries]
-
A.
growthProperty
Indicates that one entity characterizes, constrains, or quantifies how another entity grows or changes in magnitude over some parameter (such as time, size, or input).
-
B.
growthType
chosen
Indicates the manner or pattern in which something develops or increases over time.
-
C.
growthPolicy
Indicates a rule or strategy that governs how something is allowed or expected to grow or expand over time.
-
D.
growthForm
Indicates the physical structure or habit in which something develops or grows (such as its overall shape, form, or growth pattern).
-
E.
sizeTrend
Indicates how the size of an entity changes over time or relative to another entity (e.g., increasing, decreasing, or remaining stable).
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c6994f50808190ba228764bb422417 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa20ac2c8190ac7ab90b4df406b6 |
completed | March 27, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e485f88190910b39da52a955fe |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:54 p.m.